Transparent Gif

Department of Computer Science

University of California, Santa Barbara

Abstract

Predicting Bounds on Queuing Delay for Batch-scheduled Parallel Machines

by: John Brevik, Daniel Nurmi, Rich Wolski

Abstract:

Most space-sharing resources presently operated by high performance computing centers employ some sort of batch queueing system to manage resource allocation to multiple users. In this work, we explore a new method for providing end-users with predictions of the bounds on queuing delay individual jobs will experience when waiting to be scheduled to a machine partition. We evaluate this method using scheduler logs that cover a 9 year period from 7 large HPC centers. Our results show that it is possible to predict delay bounds with specified confidence levels for jobs in different queues, and for jobs requesting different ranges of processor counts.

Keywords:

batch queue delay prediction

Date:

October 2005

Document: 2005-26

XHTML Validation | CSS Validation
Updated 14-Nov-2005
Questions should be directed to: webmaster@cs.ucsb.edu